Business Applications of AI
Learning Outcomes
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What’s Included
Using AI in Business
Using AI in Business
AI methods can be divided into three distinct categories: supervised learning, unsupervised learning, and reinforcement learning. These concepts are introduced in this lesson.
Principles of Supervised Learning
Principles of Supervised Learning
Supervised learning is the most common method of applying artificial intelligence methods. This lesson explains the core principles of supervised learning models, and explains the difference between classification and regression problems.
Applying Supervised Learning Models
Applying Supervised Learning Models
Supervised learning methods use a particular dataset structure. This lesson explains the dataset requirements and evaluation methods of supervised learning.
Basic Supervised Learning Methods
Basic Supervised Learning Methods
There are many different algorithms that can be used as part of supervised learning methods. This lesson quickly overviews some of the most commonly used ones.
More Advanced Supervised Methods
More Advanced Supervised Methods
This lesson introduces some of the more advanced algorithms used in supervised learning methods.
Natural Language Processing
Natural Language Processing
Natural Language Processing is an application of computers relating to computers that can understand voice and text data. This lesson gives an overview of this area.
Understanding Computer Vision
Understanding Computer Vision
Computer vision is an AI application relating to computers that can understand images and videos. This lesson gives an overview of this area.
Technical Challenges of AI
Technical Challenges of AI
Regardless of what you're using AI for, there are some issues that can arise with any AI model. This lesson introduces some of these potential issues and how to deal with them.
Introducing Unsupervised Learning
Introducing Unsupervised Learning
Unsupervised learning is another method of applying AI to business problems. This lesson gives an overview of unsupervised learning methods and when they can be used.
Understanding Cluster Analysis
Understanding Cluster Analysis
Cluster analysis is probably the most common example of an unsupervised learning method. This lesson introduces cluster analysis, its algorithms, and its applications.
Introducing Reinforcement Learning
Introducing Reinforcement Learning
Reinforcement learning is the final method of using AI in business. It's not commonly used but can be interesting. This lesson gives a brief overview of reinforcement learning.
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